Mean, in terms of math, is the total added values of all the data in a set divided by the number of data <em>in</em> the set. Make sense? If not, here' an example...
Let's say this is my data set:
1, 2, 5, 4, 3, 8, 7, 4, 6,10
To find the mean...
Step 1: Add all of them together.
1+2+5+4+3+8+7+4+6+10 is what? 50. Now that you have this number...
Step 2: Divide by the amount there are. Basically, count up all of the numbers. How many are there? There are 10. Finally...
Step 3: Divide. 50/10 is 5, so the mean of this data set would be 5. Get it? I sure hoped this helped :)
Answer:
In the 3rd and 4th quadrants of the coordinate system
ie π < θ < 2π. At π and 2π the sine values are zero
Step-by-step explanation:
Answer:
17 units
Step-by-step explanation:
You can find the lenght of drawing a triangle and counting the x units and y units, thereby the AB would be the hypotenuse.
X units ( base ) = 15 units
Y units ( height ) = 8 units
AB = root of 8^2 + 15^2
AB = root of 289
AB = 17 units
Hope it helps :)
Mark it as brainliest answer pls :)
Answer:
No, the Roger’s claim is not correct.
Step-by-step explanation:
We are given that Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and the median.
This statement by Roger is incorrect because the median is unaffected by the outlier value and only the mean value gets affected by the outlier value.
As the median represents the middlemost value of our dataset, so any value which is an outlier will be either at the start or at the end will not the median value. So, the median will not likely change when an outlier is added to a small data set.
Now, the mean is the average of all the data set values, that is the sum of all the observations divided by the number of observations. The mean will get affected by the outlier value because it take into account each and every value of the data set.
Hence, the mean will likely to change greatly when an outlier is added to a small data set.
Answer:
True
Step-by Step Explanation:
